R/diff_true.R

In ML2Pvae: Variational Autoencoder Models for IRT Parameter Estimation

#' Simulated difficulty parameters
#'
#' Difficulty parameters for an exam with 30 items.
#'
#' @source Each entry is sampled uniformly from \code{[-3,3]}.
#' @format A data frame with 30 rows and one column.
#' Each entry corresponds to the true value of a particular difficulty parameter.
#'
"diff_true"